Strategic Data Scientist: ERP/CRM Analytics & Dashboards

NOV

Houston (TX)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

NOV in Houston seeks a seasoned data analytics professional to extract, model, and visualize data from ERP, CRM, and external sources using Python, Snowflake, and Power BI. You will build predictive and segmentation models to deliver actionable insights that improve forecasting and operations.

Collaborate with cross-functional teams, drive governance, and translate complex analytics into clear business recommendations for leadership.

Qualifications

  • Bachelor’s degree in a relevant field.
  • 5+ years in data science, analytics, or business analysis in industrial settings.
  • Proficiency with Python, SQL, and ML libraries for modeling.
  • Proven ability to drive revenue growth and cost reduction with models.

Responsibilities

  • Develop and deploy analytics and ML models to support performance and decisions.
  • Integrate ERP/CRM and macro data to generate actionable insights.
  • Design and implement predictive, classification, clustering, and optimization models.
  • Create and maintain Power BI dashboards and KPI reporting.
  • Perform data mining, statistics, and visualizations to identify trends.
  • Collaborate with stakeholders to drive analytics-driven process changes.
  • Support data governance and data quality initiatives.
  • Document requirements and assist in change management.
  • Manage large-scale Snowflake data workflows and cloud infrastructure.
  • Communicate findings to both technical and non-technical audiences.
  • Comply with NOV policies and safety standards.

Skills

Python
SQL
Machine learning
Power BI
Snowflake
Data visualization

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Engineering, or related field

Tools

Snowflake
Power BI
ERP systems
CRM systems

Job description

NOV in Houston seeks a seasoned data analytics professional to extract, model, and visualize data from ERP, CRM, and external sources using Python, Snowflake, and Power BI. You will build predictive and segmentation models to deliver actionable insights that improve forecasting and operations.

Collaborate with cross-functional teams, drive governance, and translate complex analytics into clear business recommendations for leadership.

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